Senior Data Scientist (Epigenetics)
Senior Data Scientist (Epigenetics)

Senior Data Scientist (Epigenetics)

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to develop cutting-edge data science solutions for skin diagnostics and treatments.
  • Company: Mitra bio is an innovative start-up transforming skincare through data and epigenetics.
  • Benefits: Enjoy a dynamic work environment with opportunities for remote work and collaboration.
  • Why this job: Make a real impact in skincare while working with advanced technologies and a passionate team.
  • Qualifications: MSc or PhD in Bioinformatics, Biochemistry, or related field with 3+ years of industry experience.
  • Other info: Be part of a multi-disciplinary team and contribute to hiring and team growth.

The predicted salary is between 48000 - 84000 £ per year.

About Mitra bio

Mitra bio is a dynamic start-up backed by Khosla Ventures, Illumina and Oxford University looking to disrupt the skincare industry through data. Mitra is developing a skin longevity platform powered by non-invasive sampling and epigenetics to enhance diagnostics and personalized treatments for the skin.

The Role

You will be working on cutting-edge omics studies to advance skin diagnostics and discovery of novel treatments. Your work will translate into an impactful product in the hands of the consumer. In this customer-focused and technically savvy role, you will deliver data science solutions for Next Generation Sequencing with a focus on DNA methylation. You will work in a multi-disciplinary team and will have the opportunity to be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development.

The Responsibilities:

  • Build and optimize deep learning models for biological age determination and disease stratification based on large datasets of epigenetic data;
  • Build ML/AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints;
  • Work with the data team to incorporate other omics into the prediction models to improve accuracy;
  • Work with the engineering team to incorporate your models into valuable products;
  • Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions);
  • Manage multiple projects simultaneously and complete projects in a timely & reliable manner;
  • Design and deliver in-depth, and state-of-the-art client reporting on high throughput data generated from various NGS and array data from various domains (specifically epigenomics, but also including genomics, proteomics, etc.);
  • Present experimental plans and results to internal and external stakeholders;
  • Work as part of a multidisciplinary team;
  • Be involved in hiring and team growth.

Essential skills and experience

  • MSc or PhD equivalent experience in Bioinformatics, Biochemistry, Computer Science or a related subject;
  • 3+ years’ experience delivering bioinformatics and ML-based solutions to the industry;
  • Strong experience in software development (mainly Python), test-driven development and proficiency in collaborative software development practices (code reviews, branching models);
  • Experience in version control, CI/CD and automated deployment;
  • Experience in cloud computing (e.g. AWS/GCP);
  • Familiarity with tools used in modern Illumina NGS data analysis;

Desirable:

  • Experience in analysis of epigenetics data such as DNA methylation and variant analysis (GWAS) is also advantageous;
  • Experience working in agile environments;
  • Experience deploying and maintaining secure computing environments;
  • Familiarity with research governance, The Data Protection Act and Good Clinical Practice;
  • Curiosity on using and implementing current AI technologies into company workflows.

Senior Data Scientist (Epigenetics) employer: Mitra bio

Mitra bio is an exceptional employer, offering a vibrant start-up environment backed by industry leaders like Khosla Ventures and Illumina. Located at the forefront of innovation in the skincare industry, we foster a collaborative work culture that encourages creativity and professional growth, providing employees with opportunities to engage in cutting-edge research and development. With a focus on impactful projects and a commitment to employee well-being, Mitra bio stands out as a place where your contributions can truly make a difference.
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Contact Detail:

Mitra bio Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist (Epigenetics)

✨Tip Number 1

Familiarise yourself with the latest advancements in epigenetics and machine learning. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.

✨Tip Number 2

Network with professionals in the bioinformatics and data science fields, especially those working with epigenetic data. Attend relevant conferences or webinars to connect with potential colleagues and learn about industry trends that could give you an edge.

✨Tip Number 3

Prepare to discuss specific projects where you've successfully implemented ML/AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.

✨Tip Number 4

Showcase your experience with cloud computing, particularly AWS, by discussing any relevant projects. Highlight your familiarity with data storage, analysis pipelines, and user permissions, as these are crucial for the role and will set you apart from other candidates.

We think you need these skills to ace Senior Data Scientist (Epigenetics)

Deep Learning
Machine Learning
Bioinformatics
Python Programming
Data Analysis
Next Generation Sequencing (NGS)
DNA Methylation Analysis
Cloud Computing (AWS/GCP)
Software Development Best Practices
Version Control (Git)
Continuous Integration/Continuous Deployment (CI/CD)
Agile Methodologies
Statistical Analysis
Data Visualization
Collaboration in Multidisciplinary Teams
Client Reporting
Research Governance Knowledge
Good Clinical Practice Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, machine learning, and software development. Emphasise your skills in Python and any experience with AWS or cloud computing, as these are crucial for the role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the skincare industry and how your background in epigenetics aligns with Mitra bio's mission. Mention specific projects or experiences that demonstrate your ability to deliver data science solutions.

Showcase Relevant Projects: Include examples of past projects where you built deep learning models or worked with large datasets. Highlight any experience with DNA methylation analysis or other omics studies, as this will be particularly relevant to the role.

Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, data analysis, and software development practices. Be ready to discuss your approach to problem-solving and how you would apply your skills to the challenges at Mitra bio.

How to prepare for a job interview at Mitra bio

✨Showcase Your Technical Skills

Make sure to highlight your experience with Python, machine learning, and bioinformatics during the interview. Be prepared to discuss specific projects where you've built or optimised models, especially those related to epigenetics or NGS data.

✨Demonstrate Your Problem-Solving Abilities

Mitra bio is looking for someone who can tackle complex challenges. Prepare examples of how you've approached difficult problems in past roles, particularly in a multi-disciplinary team setting, and how your solutions made an impact.

✨Familiarise Yourself with Their Products

Research Mitra bio's skin longevity platform and understand how their use of epigenetics can disrupt the skincare industry. Being knowledgeable about their products will show your genuine interest and help you align your skills with their goals.

✨Prepare for Collaborative Discussions

Since the role involves working closely with engineering and data teams, be ready to discuss how you’ve successfully collaborated in the past. Highlight your experience in agile environments and your approach to teamwork and communication.

Senior Data Scientist (Epigenetics)
Mitra bio
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